



Work Timings:4:00PM to 11:30PM
Fulltime WFH
6+ Yrs in Data science
Strong Experience ML Regression, Classification, Anomaly detection, NLP, Deep learning, Predictive analytics, Predictive maintenance ,Python, Added advantage Data visualization

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Job description
We are looking for a Data Scientist with strong AI/ML engineering skills to join our high-impact team at KrtrimaIQ Cognitive Solutions. This is not a notebook-only role — you must have production-grade experience deploying and scaling AI/ML models in cloud environments, especially GCP, AWS, or Azure.
This role involves building, training, deploying, and maintaining ML models at scale, integrating them with business applications. Basic model prototyping won't qualify — we’re seeking hands-on expertise in building scalable machine learning pipelines.
Key Responsibilities
Design, train, test, and deploy end-to-end ML models on GCP (or AWS/Azure) to support product innovation and intelligent automation.
Implement GenAI use cases using LLMs
Perform complex data mining and apply statistical algorithms and ML techniques to derive actionable insights from large datasets.
Drive the development of scalable frameworks for automated insight generation, predictive modeling, and recommendation systems.
Work on impactful AI/ML use cases in Search & Personalization, SEO Optimization, Marketing Analytics, Supply Chain Forecasting, and Customer Experience.
Implement real-time model deployment and monitoring using tools like Kubeflow, Vertex AI, Airflow, PySpark, etc.
Collaborate with business and engineering teams to frame problems, identify data sources, build pipelines, and ensure production-readiness.
Maintain deep expertise in cloud ML architecture, model scalability, and performance tuning.
Stay up to date with AI trends, LLM integration, and modern practices in machine learning and deep learning.
Technical Skills Required Core ML & AI Skills (Must-Have):
Strong hands-on ML engineering (70% of the role) — supervised/unsupervised learning, clustering, regression, optimization.
Experience with real-world model deployment and scaling, not just notebooks or prototypes.
Good understanding of ML Ops, model lifecycle, and pipeline orchestration.
Strong with Python 3, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Seaborn, Matplotlib, etc.
SQL proficiency and experience querying large datasets.
Deep understanding of linear algebra, probability/statistics, Big-O, and scientific experimentation.
Cloud experience in GCP (preferred), AWS, or Azure.
Cloud & Big Data Stack
Hands-on experience with:
GCP tools – Vertex AI, Kubeflow, BigQuery, GCS
Or equivalent AWS/Azure ML stacks
Familiar with Airflow, PySpark, or other pipeline orchestration tools.
Experience reading/writing data from/to cloud services.
Qualifications
Bachelor's/Master’s/Ph.D. in Computer Science, Mathematics, Engineering, Data Science, Statistics, or related quantitative field.
4+ years of experience in data analytics and machine learning roles.
2+ years of experience in Python or similar programming languages (Java, Scala, Rust).
Must have experience deploying and scaling ML models in production.
Nice to Have
Experience with LLM fine-tuning, Graph Algorithms, or custom deep learning architectures.
Background in academic research to production applications.
Building APIs and monitoring production ML models.
Familiarity with advanced math – Graph Theory, PDEs, Optimization Theory.
Communication & Collaboration
Strong ability to explain complex models and insights to both technical and non-technical stakeholders.
Ask the right questions, clarify objectives, and align analytics with business goals.
Comfortable working cross-functionally in agile and collaborative teams.
Important Note:
This is a Data Science-heavy role — 70% of responsibilities involve building, training, deploying, and scaling AI/ML models.
Cloud experience is mandatory (GCP preferred, AWS/Azure acceptable).
Only candidates with hands-on experience in deploying ML models into production (not just notebooks) will be considered.
Role Overview
Support executive for Heyo, the candidate should be customer-focused and have at least a year of experience in a chat support process.They will handle real-time customer interactions over chat and calls, they will need to guide users through queries, troubleshoot issues, and ensure a smooth experience with Heyo’s platform.
Key Responsibilities
- Respond to customer queries via chat and phone calls in a timely manner
- Troubleshoot basic technical issues related to calling, WhatsApp setup, and app features
- Guide users through onboarding steps
- Document common issues and grab insights to contribute to internal knowledge bases
- Escalate complex issues to the product or tech team
- Collect and relay customer feedback
- Maintain high customer satisfaction
Requirements
- At least one year of experience (preferably 2) in a customer support role (SaaS or tech product experience is vital)
- Strong communication skills in English and Hindi.
- Ability to explain technical concepts clearly to non-technical users
- Familiarity with WhatsApp Business API(very important), cloud telephony, or CRM systems is an advantage
- Experience using tools like Freshdesk, Google Suit and Excel.
- Understanding of customer support terminologies (CSAT, FRT, TAT, etc.)
- Exposure to working in a startup or fast-paced SaaS environment

Golang Developer
Location: Chennai/ Hyderabad/Pune/Noida/Bangalore
Experience: 4+ years
Notice Period: Immediate/ 15 days
Job Description:
- Must have at least 3 years of experience working with Golang.
- Strong Cloud experience is required for day-to-day work.
- Experience with the Go programming language is necessary.
- Good communication skills are a plus.
- Skills- Aws, Gcp, Azure, Golang
*Position: Business Development Manager*
Shift Timing: 10 AM to 6 PM - Monday to Saturday (Remote)
Company: JNJ Technologies & Services LLP - http://jnjservices.co.in/
Location: Vijayawada, Andra Pradesh
Language: English
Salary: 5 LPA to 7.20 LPA
We are looking for a motivated and ambitious Business Development Manager to expand our clientele. You will be responsible for applying different sales strategies and work with dedication to increase sales. Your ultimate goal will be to drive sustainable financial growth by boosting sales and maintaining strong client relationships.
*Requirements:*
• Bachelor’s degree in business, marketing or related field.
• 4 - 8 Years of Experience in sales, marketing or related field.
• Strong communication skills and IT fluency.
• Ability to manage complex projects and multi-task.
• Excellent organizational skills.
• Ability to flourish with minimal guidance, be proactive, and handle uncertainty.
• Proficient in Word, Excel, Outlook, and PowerPoint.
• Comfortable using a computer for various tasks.
*Responsibilities:*
• Develop a growth strategy focused both on financial gain and customer satisfaction
• The responsibilities of a Sales Manager Own recruiting, objectives setting, coaching and performance monitoring of sales representatives.
• Keep records of sales, revenue, invoices etc.
• Provide trustworthy feedback and after-sales support
- Great knowledge of Javascript
- Minimum experience of 6 months to 1 year
- After 3 months, assured permanent job.
- Must have knowledge of Three.js
- Energetic and eager to tackle new projects and ideas
Job Description :-
Requirements :-
Job Title: Corporate Recruiter.
Location: Chembur, Goregaon.
Company: Jaro Education.
We are looking for a highly skilled and experienced HR Recruiter with a background in consultancy to join our team in Chembur, Mumbai. As an HR Recruiter, you will be responsible for sourcing, screening, and interviewing candidates for various positions within the organization.
Key Responsibilities:
>Source and attract qualified candidates through various recruitment channels such as job portals, social media, and professional networks.
>Screen resumes, conduct initial phone screens, and schedule in-person interviews.
>Coordinate with hiring managers to understand their needs and requirements for each role.
>Manage the entire recruitment process from sourcing to onboarding.
>Maintaining a strong candidate pipeline for future opportunities.
Qualifications:
>Minimum 2-3 years of experience in recruitment. (consultancy background)
>Strong understanding of Non-IT recruitment processes.
>Excellent verbal and written communication skills.
>Proven ability to work in a fast-paced and deadline-driven environment.
>Strong knowledge of job portals.
Salary as per Company standards, benefits, and a great work environment. If you are passionate about recruitment and have a proven track record of success, we want to hear from you! Apply now and let's build a great team together!
Timing Monday to Friday (10-7)
We are looking for a highly motivated senior developer with at least 3+ years of strong hands-on experience in Java to join our startup. You would be playing pivotal role in contributing to the initial tech stack. You would be further responsible for designing and implementing product requirements that are highly usable, scalable, extensible and maintainable. You should be comfortable on working across different technologies/frameworks that we work on - Microservices, Java, Spring, Spring Boot, MySQL, Kubernetes, AWS.
Responsibilities and Duties:
- Design and build scalable REST APIs on Spring Boot
- Develop, test, tune for performance and deploy microservices
- Collaborate with the team, optimize and refactor the back-end architecture
- Maintain high standards of quality for code, documentation and other deliverables
- Active cross-team coordination would be expected
- Architecture and tech stack discussions to optimize for increasing server load
- DevOps tasks along with AWS features exploration
What are we looking for?
- Strong 3+ year experience in Core Java & backend technologies
- Good working knowledge of design patterns & OOAD
- Excellent analytical and problem-solving skills
- The skills that we consider: Java, MySQL/RDS, Spring/ Play, Maven, Redis, Kafka/SQS, Elasticsearch, AWS
- Experience with designing, implementing and deploying microservices
- Previously worked in a startup


